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Showing all 12 results Save | Export
Juszkiewicz, Jolanta – American Association of Community Colleges, 2015
This is the second of a series of reports on trends in national community college enrollments. National community college enrollments continue to decrease, with variations at the state and local levels. The report also examines completion rates published by the U.S. Department of Education (ED) based on institutional level reporting, and those…
Descriptors: Educational Trends, Community Colleges, Enrollment Trends, Statistical Data
Griffith, David – Thomas B. Fordham Institute, 2022
This study builds on a 2019 Fordham Institute report that examined the relationship between charter school enrollment share--the share of students in a community who enroll in a charter school--and the average achievement of all the students in that community, including those in traditional public schools. Like its predecessor, this report seeks…
Descriptors: Correlation, Charter Schools, Enrollment Trends, Metropolitan Areas
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Robert Meyer; Tracy Diel; Rinor Jahiu; Hayley Tymeson – Society for Research on Educational Effectiveness, 2023
Background: This paper considers a new policy and statistical framework for evaluating K-12 schools and policies that aligns with diversity, equity, and inclusion values. The new approach broadens the standard approach to accountability and evaluation by combining features of evaluation and multi-level growth models with approaches used in systems…
Descriptors: Accountability, Inclusion, Diversity, Equal Education
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Rosinger, Kelly Ochs; Ford, Karly S. – Educational Researcher, 2019
Given growing disparities in college enrollment by household income, policymakers and researchers often are interested in understanding whether policies expand access for low-income students. In this brief, we highlight the limitations of a commonly available measure of low-income status--whether students receive a federal Pell grant--and compare…
Descriptors: Grants, Federal Aid, Income, Data Use
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Méndez, Gonzalo; Ochoa, Xavier; Chiluiza, Katherine; de Wever, Bram – Journal of Learning Analytics, 2014
Learning analytics has been as used a tool to improve the learning process mainly at the micro-level (courses and activities). However, another of the key promises of learning analytics research is to create tools that could help educational institutions at the meso- and macro-level to gain better insight into the inner workings of their programs…
Descriptors: Data Analysis, Data Collection, Educational Research, Curriculum Design
National Centre for Vocational Education Research (NCVER), 2016
This work asks one simple question: "how reliable is the method used by the National Centre for Vocational Education Research (NCVER) to estimate projected rates of VET program completion?" In other words, how well do early projections align with actual completion rates some years later? Completion rates are simple to calculate with a…
Descriptors: Vocational Education, Graduation Rate, Predictive Measurement, Predictive Validity
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Olmos, Martin; Corrin, Linda – Australasian Journal of Educational Technology, 2012
The developing field of academic analytics seeks to turn data from educational systems into actionable intelligence for the improvement of teaching and learning. This paper reports on the implementation of analytics in a new medical school with an integrated curriculum and clinical focus. Analytics addressed two challenges in the curriculum:…
Descriptors: Medical Schools, Medical Education, Integrated Curriculum, Clinical Experience
National Dropout Prevention Center for Students with Disabilities, 2011
This worksheet from the National Dropout Prevention Center for Students with Disabilities (NDPC-SD) is an optional tool to help schools organize multiple years of student and program data for the purpose of identifying school-completion needs that can be addressed through the implementation of research-based interventions. It is designed for use…
Descriptors: Grade Repetition, Dropout Rate, Dropout Prevention, Graduation Rate
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Chang, Lin – New Directions for Institutional Research, 2006
Data-mining technology's predictive modeling was applied to enhance the prediction of enrollment behaviors of admitted applicants at a large state university. (Contains 4 tables and 6 figures.)
Descriptors: College Admission, Data Collection, Data Analysis, Models
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Granados, Manuel – New Directions for Institutional Research, 2003
Traditionally, educational institutions have relied heavily on the use of tables and graphs to analyze and present enrollment data. However, in dealing with information that has a spatial component (such as enrollment data), graphs and tables are often insufficient for communicating the spatial dimension. An effective way to add this extra…
Descriptors: Student Records, Family Income, Enrollment Trends, Enrollment Rate
Scheflen, Kenneth C.; Brandewie, Robert J. – 1973
The document evaluates the impact of the Veterans' Education and Training Service (VETS) program on G.I. Bill utilization rates. The VETS program is designed to increase enrollments of educationally and economically disadvantaged veterans in Veterans' Administration education and training programs. Statistical data on veterans and descriptive data…
Descriptors: Comparative Analysis, Data Analysis, Economically Disadvantaged, Educational Programs
Pearson, R.; Jagger, N.; Connor, H.; Perryman, S. – 2001
Available evidence on the supply of and demand for professional scientists and technologists (S&Ts) in the European Union (EU) was reviewed. The main data sources were as follows: approximately 450 reference documents; national and international governments, training and employer bodies, and key international organizations; more than 100…
Descriptors: Career Development, Career Ladders, Data Collection, Definitions